JSM 2005 Online Program

Abstract #302502

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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= Applied Session,

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= Presenter

Activity Number:	383
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	IMS
Abstract - #302502
Title:	Stochastic Modeling in Single Molecule Biophysics
Author(s):	Samuel Kou*+
Companies:	Harvard University
Address:	Department of Statistics, Cambridge, MA, 02138,
Keywords:	Brownian diffusion ; Langevin equation ; fractional Brownian motion ; enzymatic reaction ; electron transfer ; autocorrelation function
Abstract:	Recent advances in nanotechnology allow scientists to follow a biochemical process on a single molecule basis for the first time. These advances also raise many challenging data analysis problems and call for a sophisticated statistical modeling and inference effort. By zooming in on single molecules, recent single-molecule experiments revealed that many classical models derived from oversimplified assumptions are no longer valid. Second, the stochastic nature of the experimental data and the presence of latent processes much complicate the inference. In this talk, we will use the modeling of subdiffusion phenomenon in enzymatic reaction to illustrate the statistics and probability challenges in single-molecule biophysics. This talk is based on joint work with Sunney Xie.

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